Senior Prompt Engineer
技能 已验证 活跃This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
To empower users with specialized tools for sophisticated prompt engineering, RAG system evaluation, and AI agent design, improving LLM performance and efficiency.
功能
- Prompt analysis and optimization
- RAG system evaluation (relevance, faithfulness)
- Agent workflow visualization and validation
- Token and cost estimation
- Few-shot example extraction
使用场景
- Improving prompt quality and reducing token costs
- Assessing and enhancing RAG retrieval and generation
- Designing and validating AI agent architectures
- Creating few-shot examples for better LLM performance
非目标
- Executing prompts directly
- Interacting with external APIs for prompt execution
- Providing pre-trained LLM models
安装
请先添加 Marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install engineering-team@claude-code-skills质量评分
已验证类似扩展
Create Command
100Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
Write A Skill
100Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
Embedding Strategies
100Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Context Engineering
99Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Agent Evaluation
99Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Project Development
100This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.